Avoiding the top LLM integration mistakes in production cutovers
Caching, policy layers, streaming pitfalls, and cost controls we see when teams move from prototype to owned SLAs.
Apr 2026 · 6 min read
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Practical guidance for production AI programs
These articles mirror how we scope work with clients: explicit tradeoffs, operational metrics, and governance—not hype cycles. New posts ship on a lightweight cadence as we publish internal playbooks in sanitized form.
FeaturedMay 2026 · 8 min
How to build RAG applications that actually work
Chunking, reranking, and evaluation loops that keep answers grounded when documents are messy—without boiling the ocean on day one.
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